Python Engineer III

Ursus; Seattle (WA); Remote; USD 125,000 - 150,000; Full time

Job summary

A leading technology firm is seeking a Python Engineer III to design and develop scalable software systems for AI research. The role involves deploying solutions on cloud platforms, collaborating with cross-functional teams, and building CI/CD pipelines. Candidates should have 3-5 years of software development experience and strong skills in Python and cloud technologies. This position offers competitive pay and a range of benefits.

Benefits

Medical benefits

Dental benefits

401K with company matching

Qualifications

• 3-5 years of experience in software design and development.
• Experience deploying solutions using cloud platforms.
• Familiarity with tools like Jupyter, pip, and conda.

Responsibilities

• Analyze needs and coordinate with research and XFN teams.
• Develop scalable solutions for ML research.
• Design and create CI/CD pipelines.

Skills

Cloud deployment

Python expertise

Machine Learning understanding

Education

Bachelor's degree in a technical field

Tools

Docker

AWS

PyTorch

Job description

JOB TITLE: Python Engineer III
LOCATION: Remote (Preference for onsite in Seattle, WA or Menlo Park, CA)
DURATION: 12 months
PAY RANGE: $78-88/hour
TOP 3 SKILLS:

• Experience deploying software solutions on cloud platforms
• Experience with Python, including package management, build tooling, and C++/Python interfaces. Familiarity with notebook frameworks such as Jupyter and matplotlib, as well as tools like pip, conda, clang, julia, pybind, and cython
• Understanding of Machine Learning would be helpful

COMPANY:
Our client is a Fortune 500 multi-national technology company headquartered in Menlo Park, CA.

Job Description:
We are a team at Fundamentals AI Research (FAIR), and we are building interactive AI agents that deliver personalized, context-aware experiences by adapting to diverse user behaviors and communication styles. This role involves designing and developing scalable, robust software systems that enable intelligent agent interactions in complex, dynamic environments.

This role focuses on building, maintaining, and optimizing solutions in support of Machine Learning (ML) Research, including but not limited to data annotation tools, data analysis and visualization pipelines, and software development using SOTA ML ecosystems such as PyTorch, Docker, AWS, etc.

Job Responsibilities:

• Engage with the team early on to seek a deeper appreciation of the team's goals.
• Analyze needs and requirements to determine the feasibility of fulfilling requirements within time and cost constraints.
• Coordinate and work closely with research and XFN (UXR, data science) teams to clarify requirements, iteratively.
• Understand, then extend or replace existing implementations.
• Create CI/CD pipelines.
• Design, develop, and iterate deployment solutions for the final product.

Years of Experience

• 3-5 years of experience as the minimum

Degrees/Certifications

• Bachelor's degree in a technical field such as computer science, computer engineering or related field preferred but equivalent experience will be fine.

Minimum Qualifications

• Experience in software design and development
• Experience deploying software solutions on cloud platforms
• Experience with Python, including package management, build tooling, and C++/Python interfaces. Familiarity with notebook frameworks such as Jupyter and matplotlib, as well as tools like pip, conda, clang, julia, pybind, and cython
• Experience optimizing hardware and software to meet deployment workloads
• Strong communication and problem-solving skills

Preferred Qualifications

• Understanding of Machine Learning would be helpful
• Experience optimizing deployments using Docker and AWS. Familiarity with the ML ecosystem (e.g., PyTorch) and ML model serving (e.g., Torchserve) is helpful but not mandatory
• Design experience; familiar with making UX and design decisions
• Experience with python backends and APIs
• Experience in software design, development and deployment

BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

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